Your AI Bill Is Padded — One Client Cut Theirs by 62% Without Touching a Prompt
Most businesses run every AI task through the same expensive model, whether it needs it or not. One client's bill fell from £18,400 to £6,900 once theirs stopped.
Your AI bill is bigger than it needs to be
One of our clients moved a customer-support workload onto SOLAI and cut their token bill by 62%, without rewriting a single prompt. Their CSAT scores went up, not down.
The saving didn't come from switching to a cheaper model. It came from never paying for the wrong model again — because until they switched, every query, simple or complex, was going through the same fixed, expensive endpoint.
If your business runs any kind of AI tool — a support bot, a drafting assistant, an internal copilot — there's a good chance you're doing exactly the same thing right now.
The mistake: one model for every job
Most AI setups lock onto a single model and send everything through it. That fails in two directions at once:
- You overpay for the easy stuff. A 50-token FAQ answer doesn't need a large, expensive model — but if that's the only one wired up, every simple query inflates cost by 8–12×.
- You underpay for the hard stuff. The same setup asked to produce a proper technical report can hallucinate or refuse, so a human ends up re-doing the work anyway — which is its own hidden cost.
And if that one model's provider raises prices overnight, it hits every single prompt you send. There's no alternative to fall back on.
What we built instead
SOLAI treats every prompt as its own small decision rather than sending it to one default model. Behind the scenes it runs a short pipeline: filter out models that can't handle the request, score the rest for expected quality, check real response time, then pick the cheapest option that still clears the quality bar — all in under 25 milliseconds.
It draws on a union of 200+ models (public endpoints, private fine-tunes, on-prem deployments), but a given prompt is only ever tested against a handful of realistic candidates — the 200+ is the ceiling, not what's queried every time. Guardrails (circuit breakers on slow endpoints, a fallback chain if candidates fail) keep 99.9% of prompts answered within 500ms end-to-end.
The numbers
Across a synthetic workload of 10 million prompts spanning support, marketing copy, and technical documentation: a static setup on a fixed mid-tier model came to an estimated £18,400. Routed dynamically through SOLAI, the same workload came to £6,900 — a 62% reduction — while holding a minimum BLEURT quality score of 0.68. Customers on the £49/month tier typically see a 3–5× cost reduction within the first month.
What this means for your business
If you don't know whether your AI tool is quietly over-provisioning on your easy queries and under-provisioning on your hard ones, you're paying to find out the expensive way — either in inflated bills or in staff time spent fixing bad outputs. That gap doesn't announce itself on an invoice; it just sits there every month until someone checks.
The fix doesn't require rewriting your prompts, switching your workflow, or betting your whole stack on one vendor. It requires routing — sending each task to the model that actually fits it.
Check this before your next AI invoice
SOLAI is live now at solai.space, priced at £49/month for up to 100k tokens with no minimums. If you run any AI workload today, the fastest way to know whether you're overpaying is to run it through SOLAI and compare the number to your current bill.